[Advanced Class] Geographic Information System (ArcGIS Desktop and ArcGIS Pro)
November 3 @ 9:00 am - November 25 @ 12:30 pm UTC+0₦150,000
What's Included in this Course
Free Software and Apps
Hands on Practical and Field Experience
Manual, Jotter and Biro
Test, Assessment and Exam
Certificate of Completion
This course will develop your skills in spatial data analysis, making maps application of Python, apply SQL as a standard language for accessing and manipulating databases. Know more about Geodatabase, the physical store of geographic information, using multiuser relational database management system (such as Oracle, Microsoft SQL Server, PostgreSQL, IBM Informix, or IBM Db2) or file system. Learn and use Structured Query Language (SQL) and create a variety of spatial data analysis, processing and analyzing vector and raster data, making maps and apps, Carrying out attributes and spatial queries, and editing both versioned (traditional) and non-versioned datasets in geodatabases.
- Advanced spatial analysis: Develop Python and SQL skills for insightful data analysis.
- Geodatabase mastery: Understand geodatabases in databases or file systems.
- Comprehensive data processing: Analyze and query vector and raster data, create maps and apps.
- Efficient data management: Edit geodatabase datasets for effective handling.
Our Certificate is Recognized by Top Industries
Certificate of completion
Advance GIS Mastering and Completion
Increased job opportunities and career prospects
Higher client confidence and trust
1. Fundamentals and Principles
A. Introduction to GIS
B. GIS Components and Functions
C. What to do with GIS
D. Organising Spatial Data
E. GIS Map Scale
F. Representing Spatial Features in GIS
G. GIS Data Components and Behavior
2. GIS DATA MODEL
A. GIS Data Models types
B. Raster data model
C. Vector data model
D. Triangulated Network Model(TIN)
E. Digital Elevation Model (DEM)
F. Network models
3. BASIC OPERATIONS WITH RASTER DATA MODELS
A. File conversion
B. Converting files from vector to raster, and vice versa
C. Converting vector files to TIN
D. Converting TIN to Raster formats
E. Exporting files to KML (Google Earth) and CAD
F. Creating Digital Elevation Models from vector data, ASCII, and TIN files.
G. Extracting information from raster files: query and extraction
H. 3D DATA DISPLAY
I. Converting vector files from 2D to 3D
J. Vector and raster layers display in 3D
4. GEODATABASE MANAGEMENT SYSTEM AND SQL
A. What is a Database
B. Examples of a Database
C. Spatial database operation Example
E. Database management System
F. Database Systems
G. Data, Hardware, Software, Users
H. Reasons for using Database
I. Database models and modeling
J. Database Design Phases
K. Characteristics of a good database design
A. Massive correction of geospatial data errors.
B. Topology considerations.
C. Cluster tolerance.
D. Most common rules in topology
E. Validating a topology, Topology errors
F. Management of errors.
H. Practical exercise: (error management and massive correction) and assessment
6. ADVANCED SYMBOLOGY AND PRESENTATION IN ARCGIS
A. Graphic variable (size, shape, color, pattern)
B. Multi-attribute symbology
C. Chart (Pie, Bar, stacked)
D. Quantities and categories
E. Data classification
F. Advance map labeling
7. GEOSPATIAL ANALYSIS
A. Interpolation Analysis
B. Hydrology Analysis
C. Surface Analysis
D. Other Common Geoprocessing analysis
8. SPATIAL DISTRIBUTION PATTERN ANALYSIS
A. Creating heat maps
B. Density map
C. Spatial autocorrelation and Incident analysis
D. Optimized hotspot analysis
9. PYTHON APPLICATION & MODEL BUILDER
A. Working with Python for automation
B. Linking geoprocessing models using Model Builder.
C. Creating custom tools using ArcToolBox
10. Geoinfotech Online Test
A. Exam and Assessment
11. Award Of Certificate
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